Information on how to contribute to the mlr3 project.
For one-time contributions you can simply open a Pull Request on GitHub. Before you do so, you should read our PR Guidelines.
If you want to add a new Learner, PipeOp or Measure you can check out the chapter extending of the mlr3 book.
If you want to add a new R package to the mlr3 ecosystem or collaborate on an existing one, you can contact us on mattermost.
You can also contribute by sponsoring us.
Information for developers is summarized in our Wiki.